The Study of Calibration Algorithm for the Detection of Ultraviolet Corona

Abstract

After ultraviolet imaging, the image is low contrast and the target is weak. In this paper, an adaptive multi-scale morphological filtering method is adopted to image de-noising, the experimental result shows that the method can stretch image contrast and weaken noise. The algorithm is easy to deal in parallel and realized on hardware. Then the imaging target (Corona discharge) is extracted by image segmentation method based on region growing and discharge area is calculated. After that, it will be accurately demarcated when the condition of device need to be absolutely measured finally. “solar blind†ultraviolet image will be further processed according to temperature and humidity in order to remove the impact of corona discharge, and provide the precise calibration during the equipment is running.